# Google Research — Mapping global methane emissions from space with deep learning

- Company: Google Research (research.google)
- Announced: 2026-09-01T18:40:06+00:00
- Category: new-model
- Coverage: not counted
- Announcement: yes
- Group: models
- Source: https://research.google/blog/mapping-global-methane-emissions-from-space-with-deep-learning/
- Record: https://forck.live/items/7270-mapping-global-methane-emissions-from-space-with-deep-learning
- Subject: Research
- Models affected: MAPL-EMIT

Google Research announces MAPL-EMIT, a deep-learning framework based on a vision transformer (Swin-S) for automated detection, enhancement, and source estimation of methane plumes from hyperspectral satellite data. The framework achieves 84% recall on expert-annotated plumes and is accompanied by a global plume database, trained model, synthetic plumes, and inference library released on Earth Engine, Kaggle, and GitHub.

## Evidence

Verbatim from https://research.google/blog/mapping-global-methane-emissions-from-space-with-deep-learning/:

> Methane Analysis and Plume Localization with EMIT (MAPL-EMIT) is a deep-learning framework that represents a significant step toward automating the detection, enhancement prediction, and source estimation of methane plumes globally.

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